Instructions to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task1_organization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task1_organization with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task1_organization")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task1_organization") model = AutoModelForSequenceClassification.from_pretrained("MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task1_organization", device_map="auto") - Notebooks
- Google Colab
- Kaggle
ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task1_organization
This model is a fine-tuned version of aubmindlab/bert-base-arabertv02 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6812
- Qwk: 0.6421
- Mse: 0.6812
- Rmse: 0.8254
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk | Mse | Rmse |
|---|---|---|---|---|---|---|
| No log | 0.0392 | 2 | 5.4085 | -0.0205 | 5.4085 | 2.3256 |
| No log | 0.0784 | 4 | 3.2002 | 0.0465 | 3.2002 | 1.7889 |
| No log | 0.1176 | 6 | 1.9635 | 0.0780 | 1.9635 | 1.4012 |
| No log | 0.1569 | 8 | 1.7383 | 0.0789 | 1.7383 | 1.3185 |
| No log | 0.1961 | 10 | 1.8646 | -0.0505 | 1.8646 | 1.3655 |
| No log | 0.2353 | 12 | 2.1819 | -0.0531 | 2.1819 | 1.4771 |
| No log | 0.2745 | 14 | 2.3378 | -0.0618 | 2.3378 | 1.5290 |
| No log | 0.3137 | 16 | 1.5231 | 0.0849 | 1.5231 | 1.2341 |
| No log | 0.3529 | 18 | 1.3673 | 0.1196 | 1.3673 | 1.1693 |
| No log | 0.3922 | 20 | 1.5389 | 0.1041 | 1.5389 | 1.2405 |
| No log | 0.4314 | 22 | 2.1842 | -0.0591 | 2.1842 | 1.4779 |
| No log | 0.4706 | 24 | 2.7145 | 0.0271 | 2.7145 | 1.6476 |
| No log | 0.5098 | 26 | 2.1555 | 0.0637 | 2.1555 | 1.4681 |
| No log | 0.5490 | 28 | 1.5082 | 0.1855 | 1.5082 | 1.2281 |
| No log | 0.5882 | 30 | 1.2908 | 0.2082 | 1.2908 | 1.1361 |
| No log | 0.6275 | 32 | 1.3402 | 0.1960 | 1.3402 | 1.1577 |
| No log | 0.6667 | 34 | 1.5427 | 0.1936 | 1.5427 | 1.2421 |
| No log | 0.7059 | 36 | 1.5174 | 0.2470 | 1.5174 | 1.2318 |
| No log | 0.7451 | 38 | 1.2896 | 0.3696 | 1.2896 | 1.1356 |
| No log | 0.7843 | 40 | 1.0222 | 0.4777 | 1.0222 | 1.0110 |
| No log | 0.8235 | 42 | 1.1101 | 0.5118 | 1.1101 | 1.0536 |
| No log | 0.8627 | 44 | 1.5127 | 0.3736 | 1.5127 | 1.2299 |
| No log | 0.9020 | 46 | 1.3398 | 0.4137 | 1.3398 | 1.1575 |
| No log | 0.9412 | 48 | 1.3037 | 0.4465 | 1.3037 | 1.1418 |
| No log | 0.9804 | 50 | 1.4556 | 0.4186 | 1.4556 | 1.2065 |
| No log | 1.0196 | 52 | 1.4772 | 0.3951 | 1.4772 | 1.2154 |
| No log | 1.0588 | 54 | 1.4379 | 0.4410 | 1.4379 | 1.1991 |
| No log | 1.0980 | 56 | 1.1066 | 0.4832 | 1.1066 | 1.0520 |
| No log | 1.1373 | 58 | 0.8978 | 0.5233 | 0.8978 | 0.9475 |
| No log | 1.1765 | 60 | 0.8757 | 0.4786 | 0.8757 | 0.9358 |
| No log | 1.2157 | 62 | 0.8444 | 0.4916 | 0.8444 | 0.9189 |
| No log | 1.2549 | 64 | 0.8818 | 0.4951 | 0.8818 | 0.9390 |
| No log | 1.2941 | 66 | 0.9208 | 0.5012 | 0.9208 | 0.9596 |
| No log | 1.3333 | 68 | 0.9253 | 0.5176 | 0.9253 | 0.9619 |
| No log | 1.3725 | 70 | 0.8041 | 0.5806 | 0.8041 | 0.8967 |
| No log | 1.4118 | 72 | 0.8593 | 0.5862 | 0.8593 | 0.9270 |
| No log | 1.4510 | 74 | 0.8444 | 0.5919 | 0.8444 | 0.9189 |
| No log | 1.4902 | 76 | 0.8507 | 0.6282 | 0.8507 | 0.9223 |
| No log | 1.5294 | 78 | 0.9179 | 0.6314 | 0.9179 | 0.9581 |
| No log | 1.5686 | 80 | 0.8645 | 0.6400 | 0.8645 | 0.9298 |
| No log | 1.6078 | 82 | 0.8703 | 0.6245 | 0.8703 | 0.9329 |
| No log | 1.6471 | 84 | 0.8880 | 0.6198 | 0.8880 | 0.9423 |
| No log | 1.6863 | 86 | 0.9266 | 0.6165 | 0.9266 | 0.9626 |
| No log | 1.7255 | 88 | 1.0569 | 0.5770 | 1.0569 | 1.0281 |
| No log | 1.7647 | 90 | 1.0897 | 0.5611 | 1.0897 | 1.0439 |
| No log | 1.8039 | 92 | 0.9356 | 0.5361 | 0.9356 | 0.9673 |
| No log | 1.8431 | 94 | 0.9024 | 0.5481 | 0.9024 | 0.9500 |
| No log | 1.8824 | 96 | 0.8930 | 0.5382 | 0.8930 | 0.9450 |
| No log | 1.9216 | 98 | 0.8798 | 0.5466 | 0.8798 | 0.9380 |
| No log | 1.9608 | 100 | 0.8693 | 0.5189 | 0.8693 | 0.9323 |
| No log | 2.0 | 102 | 0.8588 | 0.4959 | 0.8588 | 0.9267 |
| No log | 2.0392 | 104 | 0.8513 | 0.5407 | 0.8513 | 0.9227 |
| No log | 2.0784 | 106 | 0.8649 | 0.5572 | 0.8649 | 0.9300 |
| No log | 2.1176 | 108 | 0.8704 | 0.5485 | 0.8704 | 0.9329 |
| No log | 2.1569 | 110 | 0.8681 | 0.5499 | 0.8681 | 0.9317 |
| No log | 2.1961 | 112 | 0.8709 | 0.6256 | 0.8709 | 0.9332 |
| No log | 2.2353 | 114 | 0.9052 | 0.6033 | 0.9052 | 0.9514 |
| No log | 2.2745 | 116 | 0.9082 | 0.6107 | 0.9082 | 0.9530 |
| No log | 2.3137 | 118 | 0.9186 | 0.6112 | 0.9186 | 0.9584 |
| No log | 2.3529 | 120 | 1.0376 | 0.5778 | 1.0376 | 1.0186 |
| No log | 2.3922 | 122 | 1.1973 | 0.5423 | 1.1973 | 1.0942 |
| No log | 2.4314 | 124 | 1.0119 | 0.5920 | 1.0119 | 1.0059 |
| No log | 2.4706 | 126 | 0.8760 | 0.6143 | 0.8760 | 0.9359 |
| No log | 2.5098 | 128 | 0.8789 | 0.6726 | 0.8789 | 0.9375 |
| No log | 2.5490 | 130 | 0.8411 | 0.6294 | 0.8411 | 0.9171 |
| No log | 2.5882 | 132 | 0.9395 | 0.6052 | 0.9395 | 0.9693 |
| No log | 2.6275 | 134 | 0.8869 | 0.6203 | 0.8869 | 0.9418 |
| No log | 2.6667 | 136 | 0.9709 | 0.5743 | 0.9709 | 0.9854 |
| No log | 2.7059 | 138 | 1.0764 | 0.5287 | 1.0764 | 1.0375 |
| No log | 2.7451 | 140 | 0.8794 | 0.5822 | 0.8794 | 0.9377 |
| No log | 2.7843 | 142 | 0.8745 | 0.6275 | 0.8745 | 0.9351 |
| No log | 2.8235 | 144 | 0.8922 | 0.6018 | 0.8922 | 0.9445 |
| No log | 2.8627 | 146 | 0.8114 | 0.6055 | 0.8114 | 0.9008 |
| No log | 2.9020 | 148 | 0.7901 | 0.6212 | 0.7901 | 0.8889 |
| No log | 2.9412 | 150 | 0.8003 | 0.6228 | 0.8003 | 0.8946 |
| No log | 2.9804 | 152 | 0.8061 | 0.6302 | 0.8061 | 0.8978 |
| No log | 3.0196 | 154 | 0.8002 | 0.6291 | 0.8002 | 0.8945 |
| No log | 3.0588 | 156 | 0.8196 | 0.6967 | 0.8196 | 0.9053 |
| No log | 3.0980 | 158 | 0.8495 | 0.6786 | 0.8495 | 0.9217 |
| No log | 3.1373 | 160 | 0.8336 | 0.6792 | 0.8336 | 0.9130 |
| No log | 3.1765 | 162 | 0.9171 | 0.6191 | 0.9171 | 0.9576 |
| No log | 3.2157 | 164 | 0.9209 | 0.6225 | 0.9209 | 0.9596 |
| No log | 3.2549 | 166 | 0.8300 | 0.6451 | 0.8300 | 0.9110 |
| No log | 3.2941 | 168 | 0.7741 | 0.6458 | 0.7741 | 0.8798 |
| No log | 3.3333 | 170 | 0.7545 | 0.6415 | 0.7545 | 0.8686 |
| No log | 3.3725 | 172 | 0.8083 | 0.6431 | 0.8083 | 0.8991 |
| No log | 3.4118 | 174 | 0.9863 | 0.5865 | 0.9863 | 0.9931 |
| No log | 3.4510 | 176 | 0.9879 | 0.5789 | 0.9879 | 0.9939 |
| No log | 3.4902 | 178 | 0.8193 | 0.5962 | 0.8193 | 0.9051 |
| No log | 3.5294 | 180 | 0.7149 | 0.6839 | 0.7149 | 0.8455 |
| No log | 3.5686 | 182 | 0.7311 | 0.6929 | 0.7311 | 0.8551 |
| No log | 3.6078 | 184 | 0.7224 | 0.7040 | 0.7224 | 0.8499 |
| No log | 3.6471 | 186 | 0.7155 | 0.7015 | 0.7155 | 0.8458 |
| No log | 3.6863 | 188 | 0.7587 | 0.6262 | 0.7587 | 0.8711 |
| No log | 3.7255 | 190 | 0.7592 | 0.6628 | 0.7592 | 0.8713 |
| No log | 3.7647 | 192 | 0.7552 | 0.6943 | 0.7552 | 0.8690 |
| No log | 3.8039 | 194 | 0.7685 | 0.6969 | 0.7685 | 0.8766 |
| No log | 3.8431 | 196 | 0.7786 | 0.6727 | 0.7786 | 0.8824 |
| No log | 3.8824 | 198 | 0.8953 | 0.6199 | 0.8953 | 0.9462 |
| No log | 3.9216 | 200 | 1.0386 | 0.5790 | 1.0386 | 1.0191 |
| No log | 3.9608 | 202 | 1.0353 | 0.5915 | 1.0353 | 1.0175 |
| No log | 4.0 | 204 | 0.9688 | 0.6038 | 0.9688 | 0.9843 |
| No log | 4.0392 | 206 | 0.8972 | 0.6362 | 0.8972 | 0.9472 |
| No log | 4.0784 | 208 | 0.8108 | 0.6666 | 0.8108 | 0.9005 |
| No log | 4.1176 | 210 | 0.7685 | 0.6729 | 0.7685 | 0.8767 |
| No log | 4.1569 | 212 | 0.7373 | 0.6554 | 0.7373 | 0.8587 |
| No log | 4.1961 | 214 | 0.7083 | 0.7028 | 0.7083 | 0.8416 |
| No log | 4.2353 | 216 | 0.7191 | 0.6989 | 0.7191 | 0.8480 |
| No log | 4.2745 | 218 | 0.7067 | 0.7028 | 0.7067 | 0.8407 |
| No log | 4.3137 | 220 | 0.7504 | 0.6042 | 0.7504 | 0.8663 |
| No log | 4.3529 | 222 | 0.7893 | 0.6238 | 0.7893 | 0.8884 |
| No log | 4.3922 | 224 | 0.7578 | 0.6361 | 0.7578 | 0.8705 |
| No log | 4.4314 | 226 | 0.7403 | 0.6854 | 0.7403 | 0.8604 |
| No log | 4.4706 | 228 | 0.7687 | 0.6600 | 0.7687 | 0.8768 |
| No log | 4.5098 | 230 | 0.7698 | 0.6722 | 0.7698 | 0.8774 |
| No log | 4.5490 | 232 | 0.6976 | 0.7190 | 0.6976 | 0.8353 |
| No log | 4.5882 | 234 | 0.7365 | 0.6195 | 0.7365 | 0.8582 |
| No log | 4.6275 | 236 | 0.8182 | 0.6269 | 0.8182 | 0.9046 |
| No log | 4.6667 | 238 | 0.9102 | 0.5950 | 0.9102 | 0.9540 |
| No log | 4.7059 | 240 | 0.8813 | 0.6101 | 0.8813 | 0.9388 |
| No log | 4.7451 | 242 | 0.7644 | 0.6135 | 0.7644 | 0.8743 |
| No log | 4.7843 | 244 | 0.7330 | 0.6183 | 0.7330 | 0.8561 |
| No log | 4.8235 | 246 | 0.6771 | 0.6408 | 0.6771 | 0.8229 |
| No log | 4.8627 | 248 | 0.6787 | 0.6496 | 0.6787 | 0.8238 |
| No log | 4.9020 | 250 | 0.7708 | 0.5965 | 0.7708 | 0.8779 |
| No log | 4.9412 | 252 | 0.8941 | 0.5814 | 0.8941 | 0.9456 |
| No log | 4.9804 | 254 | 0.8425 | 0.6151 | 0.8425 | 0.9179 |
| No log | 5.0196 | 256 | 0.8152 | 0.5919 | 0.8152 | 0.9029 |
| No log | 5.0588 | 258 | 0.7141 | 0.6041 | 0.7141 | 0.8451 |
| No log | 5.0980 | 260 | 0.6755 | 0.6351 | 0.6755 | 0.8219 |
| No log | 5.1373 | 262 | 0.7069 | 0.6153 | 0.7069 | 0.8407 |
| No log | 5.1765 | 264 | 0.7432 | 0.6057 | 0.7432 | 0.8621 |
| No log | 5.2157 | 266 | 0.8102 | 0.6216 | 0.8102 | 0.9001 |
| No log | 5.2549 | 268 | 0.7451 | 0.6177 | 0.7451 | 0.8632 |
| No log | 5.2941 | 270 | 0.6741 | 0.6578 | 0.6741 | 0.8210 |
| No log | 5.3333 | 272 | 0.6887 | 0.6530 | 0.6887 | 0.8299 |
| No log | 5.3725 | 274 | 0.7480 | 0.6137 | 0.7480 | 0.8648 |
| No log | 5.4118 | 276 | 0.8298 | 0.6235 | 0.8298 | 0.9109 |
| No log | 5.4510 | 278 | 0.8196 | 0.6189 | 0.8196 | 0.9053 |
| No log | 5.4902 | 280 | 0.7413 | 0.6001 | 0.7413 | 0.8610 |
| No log | 5.5294 | 282 | 0.6785 | 0.6526 | 0.6785 | 0.8237 |
| No log | 5.5686 | 284 | 0.6425 | 0.6936 | 0.6425 | 0.8016 |
| No log | 5.6078 | 286 | 0.6433 | 0.6916 | 0.6433 | 0.8021 |
| No log | 5.6471 | 288 | 0.6451 | 0.6821 | 0.6451 | 0.8032 |
| No log | 5.6863 | 290 | 0.6635 | 0.6690 | 0.6635 | 0.8146 |
| No log | 5.7255 | 292 | 0.6810 | 0.6623 | 0.6810 | 0.8252 |
| No log | 5.7647 | 294 | 0.6546 | 0.6774 | 0.6546 | 0.8091 |
| No log | 5.8039 | 296 | 0.6374 | 0.7130 | 0.6374 | 0.7984 |
| No log | 5.8431 | 298 | 0.6527 | 0.6854 | 0.6527 | 0.8079 |
| No log | 5.8824 | 300 | 0.6739 | 0.6484 | 0.6739 | 0.8209 |
| No log | 5.9216 | 302 | 0.6861 | 0.6431 | 0.6861 | 0.8283 |
| No log | 5.9608 | 304 | 0.6720 | 0.6773 | 0.6720 | 0.8197 |
| No log | 6.0 | 306 | 0.6711 | 0.7085 | 0.6711 | 0.8192 |
| No log | 6.0392 | 308 | 0.6737 | 0.7272 | 0.6737 | 0.8208 |
| No log | 6.0784 | 310 | 0.6842 | 0.7451 | 0.6842 | 0.8272 |
| No log | 6.1176 | 312 | 0.6791 | 0.7249 | 0.6791 | 0.8241 |
| No log | 6.1569 | 314 | 0.7195 | 0.6167 | 0.7195 | 0.8482 |
| No log | 6.1961 | 316 | 0.7932 | 0.6434 | 0.7932 | 0.8906 |
| No log | 6.2353 | 318 | 0.8314 | 0.6505 | 0.8314 | 0.9118 |
| No log | 6.2745 | 320 | 0.9574 | 0.6174 | 0.9574 | 0.9785 |
| No log | 6.3137 | 322 | 0.9905 | 0.6065 | 0.9905 | 0.9953 |
| No log | 6.3529 | 324 | 0.9559 | 0.6359 | 0.9559 | 0.9777 |
| No log | 6.3922 | 326 | 0.7987 | 0.6539 | 0.7987 | 0.8937 |
| No log | 6.4314 | 328 | 0.6734 | 0.6586 | 0.6734 | 0.8206 |
| No log | 6.4706 | 330 | 0.6530 | 0.7026 | 0.6530 | 0.8081 |
| No log | 6.5098 | 332 | 0.6469 | 0.7033 | 0.6469 | 0.8043 |
| No log | 6.5490 | 334 | 0.6669 | 0.6661 | 0.6669 | 0.8166 |
| No log | 6.5882 | 336 | 0.7271 | 0.6342 | 0.7271 | 0.8527 |
| No log | 6.6275 | 338 | 0.8004 | 0.6229 | 0.8004 | 0.8947 |
| No log | 6.6667 | 340 | 0.7765 | 0.6274 | 0.7765 | 0.8812 |
| No log | 6.7059 | 342 | 0.7134 | 0.6342 | 0.7134 | 0.8446 |
| No log | 6.7451 | 344 | 0.6531 | 0.6969 | 0.6531 | 0.8081 |
| No log | 6.7843 | 346 | 0.6532 | 0.6969 | 0.6532 | 0.8082 |
| No log | 6.8235 | 348 | 0.6596 | 0.6969 | 0.6596 | 0.8122 |
| No log | 6.8627 | 350 | 0.6633 | 0.6969 | 0.6633 | 0.8144 |
| No log | 6.9020 | 352 | 0.6646 | 0.6969 | 0.6646 | 0.8153 |
| No log | 6.9412 | 354 | 0.6516 | 0.7064 | 0.6516 | 0.8072 |
| No log | 6.9804 | 356 | 0.6534 | 0.7059 | 0.6534 | 0.8083 |
| No log | 7.0196 | 358 | 0.6642 | 0.6969 | 0.6642 | 0.8150 |
| No log | 7.0588 | 360 | 0.7155 | 0.6160 | 0.7155 | 0.8459 |
| No log | 7.0980 | 362 | 0.7980 | 0.5960 | 0.7980 | 0.8933 |
| No log | 7.1373 | 364 | 0.8150 | 0.6168 | 0.8150 | 0.9028 |
| No log | 7.1765 | 366 | 0.8115 | 0.6103 | 0.8115 | 0.9008 |
| No log | 7.2157 | 368 | 0.7435 | 0.6244 | 0.7435 | 0.8623 |
| No log | 7.2549 | 370 | 0.6864 | 0.6603 | 0.6864 | 0.8285 |
| No log | 7.2941 | 372 | 0.6658 | 0.6949 | 0.6658 | 0.8160 |
| No log | 7.3333 | 374 | 0.6581 | 0.6881 | 0.6581 | 0.8112 |
| No log | 7.3725 | 376 | 0.6483 | 0.6990 | 0.6483 | 0.8052 |
| No log | 7.4118 | 378 | 0.6439 | 0.7012 | 0.6439 | 0.8025 |
| No log | 7.4510 | 380 | 0.6421 | 0.6944 | 0.6421 | 0.8013 |
| No log | 7.4902 | 382 | 0.6459 | 0.6902 | 0.6459 | 0.8037 |
| No log | 7.5294 | 384 | 0.6589 | 0.6709 | 0.6589 | 0.8117 |
| No log | 7.5686 | 386 | 0.6932 | 0.6279 | 0.6932 | 0.8326 |
| No log | 7.6078 | 388 | 0.7188 | 0.6263 | 0.7188 | 0.8478 |
| No log | 7.6471 | 390 | 0.7204 | 0.6209 | 0.7204 | 0.8487 |
| No log | 7.6863 | 392 | 0.6956 | 0.6334 | 0.6956 | 0.8341 |
| No log | 7.7255 | 394 | 0.6719 | 0.6570 | 0.6719 | 0.8197 |
| No log | 7.7647 | 396 | 0.6501 | 0.6962 | 0.6501 | 0.8063 |
| No log | 7.8039 | 398 | 0.6465 | 0.6962 | 0.6465 | 0.8041 |
| No log | 7.8431 | 400 | 0.6602 | 0.6595 | 0.6602 | 0.8125 |
| No log | 7.8824 | 402 | 0.6712 | 0.6609 | 0.6712 | 0.8193 |
| No log | 7.9216 | 404 | 0.6975 | 0.6419 | 0.6975 | 0.8351 |
| No log | 7.9608 | 406 | 0.7136 | 0.6143 | 0.7136 | 0.8447 |
| No log | 8.0 | 408 | 0.6848 | 0.6382 | 0.6848 | 0.8275 |
| No log | 8.0392 | 410 | 0.6605 | 0.6695 | 0.6605 | 0.8127 |
| No log | 8.0784 | 412 | 0.6655 | 0.6677 | 0.6655 | 0.8158 |
| No log | 8.1176 | 414 | 0.6524 | 0.6859 | 0.6524 | 0.8077 |
| No log | 8.1569 | 416 | 0.6392 | 0.6969 | 0.6392 | 0.7995 |
| No log | 8.1961 | 418 | 0.6471 | 0.6969 | 0.6471 | 0.8045 |
| No log | 8.2353 | 420 | 0.6662 | 0.6597 | 0.6662 | 0.8162 |
| No log | 8.2745 | 422 | 0.6714 | 0.6597 | 0.6714 | 0.8194 |
| No log | 8.3137 | 424 | 0.6781 | 0.6189 | 0.6781 | 0.8235 |
| No log | 8.3529 | 426 | 0.6806 | 0.6189 | 0.6806 | 0.8250 |
| No log | 8.3922 | 428 | 0.6623 | 0.6653 | 0.6623 | 0.8138 |
| No log | 8.4314 | 430 | 0.6517 | 0.7076 | 0.6517 | 0.8073 |
| No log | 8.4706 | 432 | 0.6643 | 0.6700 | 0.6643 | 0.8151 |
| No log | 8.5098 | 434 | 0.6695 | 0.6587 | 0.6695 | 0.8182 |
| No log | 8.5490 | 436 | 0.6701 | 0.6587 | 0.6701 | 0.8186 |
| No log | 8.5882 | 438 | 0.6786 | 0.6382 | 0.6786 | 0.8238 |
| No log | 8.6275 | 440 | 0.6924 | 0.6133 | 0.6924 | 0.8321 |
| No log | 8.6667 | 442 | 0.7010 | 0.6133 | 0.7010 | 0.8373 |
| No log | 8.7059 | 444 | 0.6987 | 0.6133 | 0.6987 | 0.8359 |
| No log | 8.7451 | 446 | 0.6714 | 0.6328 | 0.6714 | 0.8194 |
| No log | 8.7843 | 448 | 0.6663 | 0.6548 | 0.6663 | 0.8162 |
| No log | 8.8235 | 450 | 0.6805 | 0.6267 | 0.6805 | 0.8249 |
| No log | 8.8627 | 452 | 0.6945 | 0.6305 | 0.6945 | 0.8334 |
| No log | 8.9020 | 454 | 0.7166 | 0.6218 | 0.7166 | 0.8465 |
| No log | 8.9412 | 456 | 0.7307 | 0.6212 | 0.7307 | 0.8548 |
| No log | 8.9804 | 458 | 0.7371 | 0.6212 | 0.7371 | 0.8586 |
| No log | 9.0196 | 460 | 0.7330 | 0.6212 | 0.7330 | 0.8561 |
| No log | 9.0588 | 462 | 0.7208 | 0.6171 | 0.7208 | 0.8490 |
| No log | 9.0980 | 464 | 0.7067 | 0.6218 | 0.7067 | 0.8406 |
| No log | 9.1373 | 466 | 0.6883 | 0.6305 | 0.6883 | 0.8296 |
| No log | 9.1765 | 468 | 0.6787 | 0.6313 | 0.6787 | 0.8238 |
| No log | 9.2157 | 470 | 0.6759 | 0.6313 | 0.6759 | 0.8221 |
| No log | 9.2549 | 472 | 0.6830 | 0.6305 | 0.6830 | 0.8264 |
| No log | 9.2941 | 474 | 0.6921 | 0.6218 | 0.6921 | 0.8319 |
| No log | 9.3333 | 476 | 0.6995 | 0.6218 | 0.6995 | 0.8364 |
| No log | 9.3725 | 478 | 0.7022 | 0.6218 | 0.7022 | 0.8380 |
| No log | 9.4118 | 480 | 0.7111 | 0.6218 | 0.7111 | 0.8433 |
| No log | 9.4510 | 482 | 0.7235 | 0.6157 | 0.7235 | 0.8506 |
| No log | 9.4902 | 484 | 0.7320 | 0.6157 | 0.7320 | 0.8556 |
| No log | 9.5294 | 486 | 0.7324 | 0.6157 | 0.7324 | 0.8558 |
| No log | 9.5686 | 488 | 0.7299 | 0.6157 | 0.7299 | 0.8544 |
| No log | 9.6078 | 490 | 0.7186 | 0.6157 | 0.7186 | 0.8477 |
| No log | 9.6471 | 492 | 0.7087 | 0.6218 | 0.7087 | 0.8419 |
| No log | 9.6863 | 494 | 0.6990 | 0.6218 | 0.6990 | 0.8361 |
| No log | 9.7255 | 496 | 0.6925 | 0.6212 | 0.6925 | 0.8322 |
| No log | 9.7647 | 498 | 0.6854 | 0.6305 | 0.6854 | 0.8279 |
| 0.4025 | 9.8039 | 500 | 0.6811 | 0.6320 | 0.6811 | 0.8253 |
| 0.4025 | 9.8431 | 502 | 0.6801 | 0.6421 | 0.6801 | 0.8247 |
| 0.4025 | 9.8824 | 504 | 0.6800 | 0.6421 | 0.6800 | 0.8246 |
| 0.4025 | 9.9216 | 506 | 0.6804 | 0.6421 | 0.6804 | 0.8249 |
| 0.4025 | 9.9608 | 508 | 0.6810 | 0.6421 | 0.6810 | 0.8252 |
| 0.4025 | 10.0 | 510 | 0.6812 | 0.6421 | 0.6812 | 0.8254 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
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Model tree for MayBashendy/ArabicNewSplits5_FineTuningAraBERT_run1_AugV5_k8_task1_organization
Base model
aubmindlab/bert-base-arabertv02